When distance pays off: The role of construal level in spending predictions

Self predictions are often optimistically biased, even for recurrent events. People could generate more realistic predictions by using information about past experiences, however they tend to disregard this cognitive approach. Drawing on Construal Level Theory, we propose that increases in construal level facilitate the use of information from past experience, and thereby increase prediction accuracy. This proposal was tested in two studies examining predictions of personal spending. Consistent with the hypotheses, individuals induced to construe the prediction target at a higher level of abstraction generated more accurate predictions (Study 1) and the effect of increased construal level on prediction was attributable to a greater reliance on past experience (Studies 1 and 2). The findings indicate that high-level construal can sometimes benefit prediction accuracy.     

When does feeling moral actually make you a better person? Conceptual abstraction moderates whether past moral deeds motivate consistency or compensatory behavior

According to the moral licensing literature, moral self-perceptions induce compensatory behavior: People who feel moral act less prosocially than those who feel immoral. Conversely, work on moral identity indicates that moral self-perceptions motivate behavioral consistency: People who feel moral act more prosocially than those who feel less so. In three studies, the authors reconcile these propositions by demonstrating the moderating role of conceptual abstraction. In Study 1, participants who recalled performing recent (concrete) moral or immoral behavior demonstrated compensatory behavior, whereas participants who considered temporally distant (abstract) moral behavior demonstrated behavioral consistency. Study 2 confirmed that this effect was unique to moral self-perceptions. Study 3 manipulated whether participants recalled moral or immoral actions concretely or abstractly, and replicated the moderation pattern with willingness to donate real money to charity. Together, these findings suggest that concrete moral self-perceptions activate self-regulatory behavior, and abstract moral self-perceptions activate identity concerns.     

Financial self-regulation

Financial self-regulation includes self-regulation strategies. Such strategies—actions and thoughts promoting financial goals over financial temptations—can intervene at multiple points in the self-regulation process. We discuss financial self-regulation strategies in the context of the process model, highlighting empirically studied strategies shown to increase saving or reduce spending. We then discuss factors linked to strategy effectiveness. Although there is no consensus which specific strategy may be superior, there is evidence suggesting that financial strategies employed ahead of a tempting situation (vs. during the situation), self-generated strategies that fit one's personality, and a wider variety of strategies likely result in more self-regulatory success. We also discuss the limits of financial self-regulation strategies and the circumstances under which strategies may be ineffective.     

Different goals,different predictions: Accuracy and bias in financial planning for events and time periods

Personal spending predictions are sometimes optimistically biased because predictors focus on their current savings goals. The present studies explored the role of savings goals in prediction by comparing spending predictions for time periods and discrete events. Contemplating a concrete event may elicit specific goals that compete with a focus on savings goals. Consistent with this hypothesis, Studies 1 and 2 revealed that participants relied less on savings goals, and were less biased, when predicting event spending rather than weekly spending. Study 3 demonstrated the causal impact of focusing on goals that compete with savings goals: Participants induced to focus on competing goals predicted to spend more money next week, and relied less on savings goals to generate their predictions.     

A self-determination theory approach to predicting daily prosocial behavior

Motivation and Emotion - We examine reports of typical daily helping (Study 1a-b, Ns?=?402 and 217) and daily helping reported over seven days (Study 2, n?=?2380 daily diary...     

You promised you'd change: How incremental and entity theorists react to a romantic partner's promised change attempts

Research from multiple domains suggests that individuals benefit from having other people in their lives who endorse an incremental mindset, believing in humans' capacity to change and improve through effort. We hypothesize, however, that people high in incrementalism may have unrealistic expectations about the ease of change, leading them to become frustrated with others who promise change (change-strivers) but achieve only partial success. In a longitudinal study, change-strivers made promises of change to their romantic partners and attempted to keep those promises over two weeks. Romantic partners who were higher in incrementalism were initially more optimistic that change-strivers would successfully change, but subsequently more distrustful toward change-strivers whose change attempts failed. Furthermore, partners high in incrementalism were more likely to attribute failure to the change-striver's lack of effort, rather than to the difficulty of the behaviors. The findings highlight circumstances when incremental mindsets may have costs in relationships.     

Only because I love you: why people make and why they break promises in romantic relationships

People make and break promises frequently in interpersonal relationships. In this article, we investigate the processes leading up to making promises and the processes involved in keeping them. Across 4 studies, we demonstrate that people who had the most positive relationship feelings and who were most motivated to be responsive to the partner's needs made bigger promises than did other people but were not any better at keeping them. Instead, promisers' self-regulation skills, such as trait conscientiousness, predicted the extent to which promises were kept or broken. In a causal test of our hypotheses, participants who were focused on their feelings for their partner promised more, whereas participants who generated a plan of self-regulation followed through more on their promises. Thus, people were making promises for very different reasons (positive relationship feelings, responsiveness motivation) than what made them keep these promises (self-regulation skills). Ironically, then, those who are most motivated to be responsive may be most likely to break their romantic promises, as they are making ambitious commitments they will later be unable to keep.     

The Temporally Extended Self: The Relation of Past and Future Selves to Current Identity,Motivation, and Goal Pursuit

People's current identity is constructed not only in the present moment but also by looking back to past selves and forward to future selves. In this article, we review research on the temporally extended self, with a focus on recent work informed by temporal self‐appraisal theory. People often recall the past and imagine the future in ways that contribute to a favorable current identity. Subjective temporal distance (how near or distant a point in time feels) plays a powerful role in determining temporal self‐appraisals. In turn, people's judgments of subjective distance can shift when considering temporal selves with good or bad implications for current identity. We will describe research exploring the complex interconnections between past, present, and future identity. In addition, we consider some of the unique implications that people's constructions of future selves might have for their plans and goals, and how predicted selves might influence goal‐pursuit motivation and behavior.     

Bigger Not Better: Unpacking Future Expenses Inflates Spending Predictions

People often underestimate their future personal spending. Across four studies we examined an “unpacking” intervention to reduce this bias. Participants predicted spending for an upcoming week (Study 1), a weekend (Study 2a), a vacation (Study 2b), and for weeks versus self-nominated events (Study 3), and subsequently reported actual spending. In each case, unpacking the details of expected expenses increased spending predictions. In contexts where predictions tended to be too low (Study 1, 3), unpacking eliminated underestimation bias. However, in contexts where predictions were already unbiased, unpacking introduced an overestimation bias (Study 2, 3). Unpacking appears to make predictions bigger, not necessarily better.